[英]How to keep edge colours after delete_edge() in DiagrammeR
我通過首先設置基本圖,然后添加節點和邊,使用DiagrammeR創建了一個圖。 我已經在create_graph()內部的edge_attrs()中設置了邊緣顏色屬性。
如果我添加沒有顏色屬性的新邊緣,則它按預期使用了預定義的顏色。 但是,如果我使用delete_edge()刪除邊緣之一,則所有邊緣的常規邊緣屬性顏色都會消失。 由於graph $ edges_df不包含任何顏色信息,因此該圖默認為黑色。
使用add_node()時,是否可以將邊緣的顏色添加到graph $ edges_df?
我認為可行的唯一方法是添加沒有邊緣的節點,然后使用add_edge()分別添加邊緣。
這是一個可重現的示例:
library(DiagrammeR)
library(magrittr)
nodes <-
create_nodes(
nodes = "a",
label = "A",
type = "lower",
style = "filled",
shape = "circle",
color = "orange",
x = 5,
y = 4
)
graph_1 <-
create_graph(
nodes_df = nodes,
graph_attrs = c(
"layout = neato"
),
edge_attrs = c(
"relationship = requires",
"arrowhead = normal",
"color = 'lightgrey'"
)
)
render_graph(graph_1)
graph_1 %>%
add_node(
node = "b",
from = "a",
label = "B",
style = "filled",
shape = "circle",
color = "orange",
x = 5,
y = 3
) ->
graph_2
render_graph(graph_2)
new_edges <- create_edges(
from = "a",
to = "a"
)
graph_2 %>%
add_edges(
edges_df = new_edges
) ->
graph_3
render_graph(graph_3)
graph_3 %>%
delete_edge(
to = "a",
from = "a"
) ->
graph_4
render_graph(graph_4)
這是我找到的最佳解決方案。 只需忽略常規屬性並依靠edges_df。
library(DiagrammeR)
library(magrittr)
nodes <-
create_nodes(
nodes = "a",
label = "A",
type = "lower",
style = "filled",
shape = "circle",
color = "orange",
x = 5,
y = 4
)
graph_1 <-
create_graph(
nodes_df = nodes,
graph_attrs = c(
"layout = neato"
)
)
render_graph(graph_1)
graph_1 %>%
add_node(
node = "b",
label = "B",
style = "filled",
shape = "circle",
color = "orange",
x = 5,
y = 3
) %>%
add_edges(
edges_df = create_edges(
from = "a",
to = "b",
color = "lightgrey"
)
) ->
graph_2
render_graph(graph_2)
graph_2 %>%
add_edges(
edges_df = create_edges(
from = "a",
to = "a",
color = "lightgrey"
)
) ->
graph_3
render_graph(graph_3)
graph_3 %>%
delete_edge(
to = "b",
from = "a"
) ->
graph_4
render_graph(graph_4)
編輯:我現在看了來自rich-iannone的delete_edge()代碼。 它基本上基於原始的edge_df,nodes_df,directed和graph_attrs重新構建圖形,但不包括node_attrs或edge_attrs,因此它們返回默認值。 一種簡單的解決方案是構建一個考慮到這一點的新函數,但我忽略是否與create_graph發生沖突。
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